Heavy-Tailed Memory Traces in Long-Horizon Language Agents
Long-horizon language agents increasingly rely on external memory as a frozen world model, yet current memory systems are usually judged only by task success or token cost. We argue that the missing object is the shape of memory use: under finite context and repeated retrieval,…
AI Summary & Key Takeaways
- Long-horizon language agents increasingly rely on external memory as a frozen world model, yet current memory systems are usually judged only by task success or token cost
- We argue that the missing object is the shape of memory use: under finite context and repeated retrieval,…
Heavy-Tailed Memory Traces in Long-Horizon Language Agents
Related stories
Ensemble forecasting with IBM Granite time-series models
A Blog post by IBM Research on Hugging Face
In ChatGPT you can hide conversations using a PIN code or Face ID
🔒 In ChatGPT you can hide conversations under a PIN code or Face ID OpenAI has begun to gradually launch the Locked Chats feature, which allows you to protect individual conversations in ChatGPT from strangers. Users can hide personal or confidential chats from regular history and...
RUЕвропейские пионеры используют модели NVIDIA Earth-2 для прогноза погоды
Модели NVIDIA Earth-2 помогают прогнозировать погоду и климат в Европе.
RUNVIDIA трансформирует европейскую розницу с помощью ИИ и роботов
NVIDIA внедряет открытые модели и физический интеллект в европейскую розницу.